ru
Feedback
Machine Learning

Machine Learning

Открыть в Telegram

Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho

Больше

📈 Аналитический обзор Telegram-канала Machine Learning

Канал Machine Learning (@machinelearning9) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 40 365 подписчиков, занимая 3 329 место в категории Технологии и приложения и 225 место в регионе Сирия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 40 365 подписчиков.

Согласно последним данным от 11 июля, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 393, а за последние 24 часа — 17, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.29%. В первые 24 часа после публикации контент обычно набирает 1.74% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 924 просмотров. В течение первых суток публикация набирает 702 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 4.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как distance, insidead, gpu, learning, degree.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho

Благодаря высокой частоте обновлений (последние данные получены 12 июля, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

40 365
Подписчики
+1724 часа
+1237 дней
+39330 день
Архив постов
📌 How Your Prompts Lead AI Astray 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-29 | ⏱️ Read time: 7 min read Practi
📌 How Your Prompts Lead AI Astray 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-29 | ⏱️ Read time: 7 min read Practical tips to recognise and avoid prompt bias.

📌 Skills vs. AI Skills 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-29 | ⏱️ Read time: 7 min read Which skills are
📌 Skills vs. AI Skills 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-29 | ⏱️ Read time: 7 min read Which skills are timeless, and where is the gap?

📌 Automated Testing: A Software Engineering Concept Data Scientists Must Know To Succeed 🗂 Category: DATA SCIENCE 🕒 Date:
📌 Automated Testing: A Software Engineering Concept Data Scientists Must Know To Succeed 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-30 | ⏱️ Read time: 21 min read Why you should read this article Most data scientists whip up a Jupyter Notebook, play…

📌 What Is Data Literacy in 2025? It’s Not What You Think 🗂 Category: DATA VISUALIZATION 🕒 Date: 2025-07-30 | ⏱️ Read time:
📌 What Is Data Literacy in 2025? It’s Not What You Think 🗂 Category: DATA VISUALIZATION 🕒 Date: 2025-07-30 | ⏱️ Read time: 20 min read In today’s fast-paced, distraction-heavy world, data literacy isn’t just about understanding charts or analyzing numbers—it’s…

📌 Confusion Matrix Made Simple: Accuracy, Precision, Recall & F1-Score 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-30 | ⏱️ Re
📌 Confusion Matrix Made Simple: Accuracy, Precision, Recall & F1-Score 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-30 | ⏱️ Read time: 8 min read How to evaluate classification models and understand which metric matters the most.

📌 The Misconception of Retraining: Why Model Refresh Isn’t Always the Fix 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-30 | ⏱️
📌 The Misconception of Retraining: Why Model Refresh Isn’t Always the Fix 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-30 | ⏱️ Read time: 7 min read Retraining is easy; knowing when not to is the real challenge. In machine learning, performance…

📌 July Must-Reads: Scalable AI, Career Insights, and More 🗂 Category: THE VARIABLE 🕒 Date: 2025-07-31 | ⏱️ Read time: 3 mi
📌 July Must-Reads: Scalable AI, Career Insights, and More 🗂 Category: THE VARIABLE 🕒 Date: 2025-07-31 | ⏱️ Read time: 3 min read Don’t miss the most popular stories of the past month

📌 The ONLY Data Science Roadmap You Need to Get a Job 🗂 Category: 🕒 Date: 2025-07-31 | ⏱️ Read time: 10 min read Are you l
📌 The ONLY Data Science Roadmap You Need to Get a Job 🗂 Category: 🕒 Date: 2025-07-31 | ⏱️ Read time: 10 min read Are you looking to become a data scientist and don’t know where to start? In…

📌 LLMs and Mental Health 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-07-31 | ⏱️ Read time: 19 min read Are LLMs good or
📌 LLMs and Mental Health 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-07-31 | ⏱️ Read time: 19 min read Are LLMs good or bad for our mental health? It’s more complicated than that.

📌 How to Benchmark LLMs – ARC AGI 3 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-07-31 | ⏱️ Read time: 8 min read Learn how t
📌 How to Benchmark LLMs – ARC AGI 3 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-07-31 | ⏱️ Read time: 8 min read Learn how to LLMs are benchmarked, and try out the newly released ARC AGI 3

📌 FastSAM for Image Segmentation Tasks — Explained Simply 🗂 Category: 🕒 Date: 2025-07-31 | ⏱️ Read time: 9 min read Introd
📌 FastSAM  for Image Segmentation Tasks — Explained Simply 🗂 Category: 🕒 Date: 2025-07-31 | ⏱️ Read time: 9 min read Introduction Image segmentation is a popular task in computer vision, with the goal of partitioning…

📌 When Models Stop Listening: How Feature Collapse Quietly Erodes Machine Learning Systems 🗂 Category: MACHINE LEARNING 🕒
📌 When Models Stop Listening: How Feature Collapse Quietly Erodes Machine Learning Systems 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-08-01 | ⏱️ Read time: 9 min read Models don’t just fail with noise; they fail in silence, by narrowing their attention to…

📌 “I think of analysts as data wizards who help their product teams solve problems” 🗂 Category: AUTHOR SPOTLIGHTS 🕒 Date:
📌 “I think of analysts as data wizards who help their product teams solve problems” 🗂 Category: AUTHOR SPOTLIGHTS 🕒 Date: 2025-08-01 | ⏱️ Read time: 10 min read Mariya Mansurova explains how hands-on learning, agentic AI, and engineering habits shape her writing and…

📌 How Computers “See” Molecules 🗂 Category: DATA SCIENCE 🕒 Date: 2025-08-01 | ⏱️ Read time: 29 min read Generative Molecul
📌 How Computers “See” Molecules 🗂 Category: DATA SCIENCE 🕒 Date: 2025-08-01 | ⏱️ Read time: 29 min read Generative Molecular Design (Part 1): common molecular representations in data science.

📌 Mastering NLP with spaCy – Part 2 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-08-01 | ⏱️ Read time: 7 min read POS
📌 Mastering NLP with spaCy – Part 2 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-08-01 | ⏱️ Read time: 7 min read POS tagging, dependency parser and named entity recognition.

📌 Does the Code Work or Not? 🗂 Category: DATA SCIENCE 🕒 Date: 2025-08-04 | ⏱️ Read time: 7 min read A common misconception
📌 Does the Code Work or Not? 🗂 Category: DATA SCIENCE 🕒 Date: 2025-08-04 | ⏱️ Read time: 7 min read A common misconception about the working state of code in data, AI or software engineering…

📌 Hands-On with Agents SDK: Multi-Agent Collaboration 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-08-04 | ⏱️ Read tim
📌 Hands-On with Agents SDK: Multi-Agent Collaboration 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-08-04 | ⏱️ Read time: 31 min read Explore the handoff and agents-as-tools patterns, their use cases, and how to customize them using…

📌 On Adding a Start Value to a Waterfall Chart in Power BI 🗂 Category: DATA SCIENCE 🕒 Date: 2025-08-04 | ⏱️ Read time: 6 m
📌 On Adding a Start Value to a Waterfall Chart in Power BI 🗂 Category: DATA SCIENCE 🕒 Date: 2025-08-04 | ⏱️ Read time: 6 min read A waterfall chart can be a powerful tool for conveying information. But it has some…

📌 Introducing Server-Sent Events in Python 🗂 Category: PROGRAMMING 🕒 Date: 2025-08-04 | ⏱️ Read time: 13 min read A simple
📌 Introducing Server-Sent Events in Python 🗂 Category: PROGRAMMING 🕒 Date: 2025-08-04 | ⏱️ Read time: 13 min read A simpler path to coding real-time web applications.

📌 From Data Scientist IC to Manager: One Year In 🗂 Category: DATA SCIENCE 🕒 Date: 2025-08-04 | ⏱️ Read time: 9 min read Th
📌 From Data Scientist IC to Manager: One Year In 🗂 Category: DATA SCIENCE 🕒 Date: 2025-08-04 | ⏱️ Read time: 9 min read Three pillars that shaped my first year in data science management - prioritization, empowerment, and recognition